Triple

T18113142
Position Surface form Disambiguated ID Type / Status
Subject Lom E433531 entity
Predicate administrativeCentre P1474 FINISHED
Object Fossbergom NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Fossbergom | Statement: [Lom, administrativeCentre, Fossbergom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fossbergom
Context triple: [Lom, administrativeCentre, Fossbergom]
  • A. Fossbergom chosen
    Fossbergom is a village in Innlandet county, Norway, serving as the main settlement and service hub for the surrounding Lom municipality in the Ottadalen valley.
  • B. Frogn
    Frogn is a coastal municipality in Viken county, Norway, known for the historic Oscarsborg Fortress in the Oslofjord.
  • C. Fargus
    Fargus is a central playable character in the comedic fantasy action-platformer game Pandemonium!, known for his quirky personality and magical abilities.
  • D. Frosta
    Frosta is a rural municipality and peninsula in Trøndelag county, Norway, known for its fertile farmland and historical significance as a medieval assembly site.
  • E. Puygros
    Puygros is a small French village located in the Alpine foothills within the Massif des Bauges region of southeastern France.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3fd9c81909bfe95927f7553e3 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.